Alexander Liu

According to our database, Alexander Liu authored at least 14 papers between 2006 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Transfer Learning for Entity Recognition of Novel Classes.

Juan Diego Rodriguez, Adam Caldwell, Alexander Liu

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2016

Evaluating Methods for Distinguishing Between Human-Readable Text and Garbled Text.

Jette Henderson, Daniel Frazee, Nick Siegel, Cheryl Martin, Alexander Y. Liu

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2012

Using Consensus Clustering for Multi-view Anomaly Detection.

Alexander Y. Liu, Dung N. Lam

Proceedings of the 2012 IEEE Symposium on Security and Privacy Workshops, 2012

Crowdsourcing Evaluations of Classifier Interpretability.

Amanda Hutton, Alexander Liu, Cheryl Martin

Proceedings of the Wisdom of the Crowd, 2012

2011

Smoothing Multinomial Naïve Bayes in the Presence of Imbalance.

Alexander Y. Liu, Cheryl E. Martin

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Graph-Based Data Warehousing Using the Core-Facets Model.

Dung N. Lam, Alexander Y. Liu, Cheryl E. Martin

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2011

2010

Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers.

Alexander Liu, Cheryl Martin, Brian La Cour, Joydeep Ghosh

Proceedings of the Data Mining - Special Issue in Annals of Information Systems, 2010

Automated Hierarchical Density Shaving: A Robust Automated Clustering and Visualization Framework for Large Biological Data Sets.

Gunjan Gupta, Alexander Liu, Joydeep Ghosh

IEEE ACM Trans. Comput. Biol. Bioinform., 2010

2009

A self-training approach to cost sensitive uncertainty sampling.

Alexander Liu, Goo Jun, Joydeep Ghosh

Mach. Learn., 2009

Spatially Cost-Sensitive Active Learning.

Alexander Liu, Goo Jun, Joydeep Ghosh

Proceedings of the SIAM International Conference on Data Mining, 2009

Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs.

Alexander Liu, Goo Jun, Joydeep Ghosh

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2007

Generative Oversampling for Mining Imbalanced Datasets.

Alexander Liu, Joydeep Ghosh, Cheryl Martin

Proceedings of the 2007 International Conference on Data Mining, 2007

2006

Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets.

Gunjan Gupta, Alexander Liu, Joydeep Ghosh

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

AI Lessons Learned from Experiments in Insider Threat Detection.

Alexander Liu, Cheryl Martin, Tom Hetherington, Sara Matzner

Proceedings of the What Went Wrong and Why: Lessons from AI Research and Applications, 2006